NVIDIA Blog

1 week ago | blogs.nvidia.com | Gerardo Delgado

Project G-Assist — available through the NVIDIA App — is an experimental AI assistant that helps tune, control and optimize NVIDIA GeForce RTX systems. NVIDIA’s Plug and Play: Project G-Assist Plug-In Hackathon — running virtually through Wednesday, July 16 — invites the community to explore AI and build custom G-Assist plug-ins for a chance to win prizes and be featured on NVIDIA social media channels.

2 weeks ago | blogs.nvidia.com | Gerardo Delgado

Generative AI has reshaped how people create, imagine and interact with digital content. As AI models continue to grow in capability and complexity, they require more VRAM, or video random access memory. The base Stable Diffusion 3.5 Large model, for example, uses over 18GB of VRAM — limiting the number of systems that can run it well. By applying quantization to the model, noncritical layers can be removed or run with lower precision.

2 weeks ago | blogs.nvidia.com | Nat Ives

AI’s in fashion in France — as it is across the globe — with the technology already helping solve some of the country’s greatest challenges across research and innovation, transportation, manufacturing and many other industries. And this fashion’s here to stay. France’s National Strategy for AI, part of the broader France 2030 investment plan, includes more than €109 billion in investments for the country’s AI infrastructure projects.

3 weeks ago | blogs.nvidia.com | Noah Kravitz

Humans learn the norms, values and behaviors of society from each other — and Bernt Børnich, founder and CEO of 1X Technologies, thinks robots should learn like this, too. “For robots to be truly intelligent and show nuances like being careful around your pet, holding the door open for an elderly person and generally behaving like we want robots to behave, they have to live and learn among us,” Børnich told the AI Podcast.

3 weeks ago | blogs.nvidia.com | Dave Salvator

NVIDIA is working with companies worldwide to build out AI factories — speeding the training and deployment of next-generation AI applications that use the latest advancements in training and inference. The NVIDIA Blackwell architecture is built to meet the heightened performance requirements of these new applications.